Information and Communication Technology for Small-Scale Farmers: Challenges and Opportunities
暂无分享,去创建一个
[1] Senthold Asseng,et al. An overview of APSIM, a model designed for farming systems simulation , 2003 .
[2] S. Fan,et al. Is small beautiful? Farm size, productivity, and poverty in Asian agriculture , 2003 .
[3] H. Sinoquet,et al. An overview of the crop model STICS , 2003 .
[4] James W. Jones,et al. The DSSAT cropping system model , 2003 .
[5] C. Stöckle,et al. CropSyst, a cropping systems simulation model , 2003 .
[6] Jimmy R. Williams,et al. Simulating soil C dynamics with EPIC: Model description and testing against long-term data , 2006 .
[7] Ancha Srinivasan,et al. Handbook of Precision Agriculture: Principles and Applications , 2006 .
[8] Daniel Minoli,et al. Wireless Sensor Networks: Technology, Protocols, and Applications , 2007 .
[9] Yi Shi,et al. Rate Allocation and Network Lifetime Problems for Wireless Sensor Networks , 2008, IEEE/ACM Transactions on Networking.
[10] Pete Smith,et al. Importance of methane and nitrous oxide for Europe's terrestrial greenhouse-gas balance , 2009 .
[11] Dinesh Chandra Verma. Principles of Computer Systems and Network Management , 2009 .
[12] Jongmin Lee,et al. QoS Mapping over Hybrid Optical and Wireless Access Networks , 2009, 2009 First International Conference on Evolving Internet.
[13] Herman Van Keulen,et al. CROSPAL, software that uses agronomic expert knowledge to assist modules selection for crop growth simulation , 2010, Environ. Model. Softw..
[14] Dongxian He,et al. The design and implementation of an integrated optimal fertilization decision support system , 2011, Math. Comput. Model..
[15] M. Dursun,et al. A wireless application of drip irrigation automation supported by soil moisture sensors , 2011 .
[16] Leonie J. Pearson,et al. Interpretive review of conceptual frameworks and research models that inform Australia's agricultural vulnerability to climate change , 2011, Environ. Model. Softw..
[17] Jeffrey W. White,et al. Methodologies for simulating impacts of climate change on crop production , 2011 .
[18] Michael Winter,et al. Valuing local knowledge as a source of expert data: Farmer engagement and the design of decision support systems , 2012, Environ. Model. Softw..
[19] J. I. Ortiz-Monasterio,et al. Extreme heat effects on wheat senescence in India , 2012 .
[20] Xiaomao Lin,et al. Maize potential yields and yield gaps in the changing climate of northeast China , 2012 .
[21] O. Marinoni,et al. Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia , 2012 .
[22] A. Jolivot,et al. Thermal infra-re d remote sensing for water stress e stimatio n in agricult ure , 2012 .
[23] Peter M. Kasson,et al. Computational Biology in the Cloud: Methods and New Insights from Computing at Scale , 2012, Pacific Symposium on Biocomputing.
[24] Y. Sokona,et al. Loss and damage from the double blow of flood and drought in Mozambique , 2013 .
[25] M. Shamim Hossain,et al. A Survey on Sensor-Cloud: Architecture, Applications, and Approaches , 2013, Int. J. Distributed Sens. Networks.
[26] B. Whelan,et al. Precision Agriculture for Grain Production Systems , 2013 .
[27] Genda Singh,et al. Effects of rainwater harvesting on plant growth, soil water dynamics and herbaceous biomass during rehabilitation of degraded hills in Rajasthan, India , 2013 .
[28] Ian T. Foster,et al. The parallel system for integrating impact models and sectors (pSIMS) , 2013, Environ. Model. Softw..
[29] K. Cassman,et al. Yield gap analysis—Rationale, methods and applications—Introduction to the Special Issue , 2013 .
[30] Mianxiong Dong,et al. UAV-assisted data gathering in wireless sensor networks , 2014, The Journal of Supercomputing.
[31] Noman Islam,et al. A review of wireless sensors and networks' applications in agriculture , 2014, Comput. Stand. Interfaces.
[32] V. Ramanathan,et al. Recent climate and air pollution impacts on Indian agriculture , 2014, Proceedings of the National Academy of Sciences.
[33] Chris Murphy,et al. APSIM - Evolution towards a new generation of agricultural systems simulation , 2014, Environ. Model. Softw..
[34] Valerie O. Snow,et al. Modelling the manager: Representing rule-based management in farming systems simulation models , 2014, Environ. Model. Softw..
[35] S. Gayathri,et al. Smart irrigation system for outdoor environment using Tiny OS , 2014, 2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC).
[36] A. Ash,et al. Research opportunities for sustainable productivity improvement in the northern beef industry: A scoping study , 2014 .
[37] Jimmy R. Williams,et al. Biochar as a global change adaptation: predicting biochar impacts on crop productivity and soil quality for a tropical soil with the Environmental Policy Integrated Climate (EPIC) model , 2015, Mitigation and Adaptation Strategies for Global Change.
[38] Eui-nam Huh,et al. Smart gateway based communication for cloud of things , 2014, ISSNIP.
[39] V. Prasanna. Impact of monsoon rainfall on the total foodgrain yield over India , 2014, Journal of Earth System Science.
[40] G. Hoogenboom,et al. Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China , 2015 .
[41] Utz Roedig,et al. LoRa for the Internet of Things , 2016, EWSN.
[42] Rajkumar Buyya,et al. Fog Computing: Principles, Architectures, and Applications , 2016, ArXiv.
[43] Prem Prakash Jayaraman,et al. Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt , 2016, Sensors.
[44] Y. Duan,et al. Agricultural information dissemination using ICTs: A review and analysis of information dissemination models in China , 2016 .
[45] A. Ogundipe,et al. Agricultural Productivity, Poverty Reduction and Inclusive Growth in Africa: Linkages and Pathways , 2016 .
[46] John B. Carter,et al. IBM Bluemix Mobile Cloud Services , 2016, IBM J. Res. Dev..
[47] Sander Janssen,et al. Analysis of Big Data technologies for use in agro-environmental science , 2016, Environ. Model. Softw..
[48] Lvwen Huang,et al. A Portable Farmland Information Collection System with Multiple Sensors , 2016, Sensors.
[49] Wael Guibène,et al. Evaluation of LPWAN Technologies for Smart Cities: River Monitoring Use-Case , 2017, 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).
[50] G. Santhi,et al. A Survey on Various Attacks and Countermeasures in Wireless Sensor Networks , 2017 .
[51] S. Wolfert,et al. Big Data in Smart Farming – A review , 2017 .
[52] M. Donatelli,et al. Modelling the impacts of pests and diseases on agricultural systems , 2017, Agricultural systems.
[53] Partha Pratim Ray,et al. Internet of things for smart agriculture: Technologies, practices and future direction , 2017, J. Ambient Intell. Smart Environ..
[54] Ramesh C. Poonia,et al. Design of prototype model for irrigation based decision support system , 2018, Journal of Information and Optimization Sciences.
[55] C. Rama Krishna,et al. An IoT based smart irrigation management system using Machine learning and open source technologies , 2018, Computers and Electronics in Agriculture.
[56] Ryan Anderson,et al. An integrated modeling framework for crop and biofuel systems using the DSSAT and GREET models , 2018, Environ. Model. Softw..
[57] Mehmood Ali Noor,et al. Farmers’ perceptions regarding the use of Information and Communication Technology (ICT) in Khyber Pakhtunkhwa, Northern Pakistan , 2017, Journal of the Saudi Society of Agricultural Sciences.